title: A reexamination of connectivity trends via exponential random graph modeling in two IDU risk networks.
abstract: Patterns of risk in injecting drug user (IDU) networks have been a key focus of network approaches to HIV transmission histories. New network modeling techniques allow for a reexamination of these patterns with greater statistical accuracy and the comparative weighting of model elements. This paper describes the results of a reexamination of network data from the SFHR and P90 data sets using Exponential Random Graph Modeling. The results show that "transitive closure" is an important feature of IDU network topologies, and provides relative importance measures for race/ethnicity, age, gender, and number of risk partners in predicting risk relationships.
authors.affiliation: 1Department of Sociology, University of Nebraska-Lincoln , Lincoln, NE , USA.
authors.forename: Kirk
authors.initials: K
authors.lastname: Dombrowski
authors.forename: Bilal
authors.initials: B
authors.lastname: Khan
authors.forename: Katherine
authors.initials: K
authors.lastname: McLean
authors.forename: Ric
authors.initials: R
authors.lastname: Curtis
authors.forename: Travis
authors.initials: T
authors.lastname: Wendel
authors.forename: Evan
authors.initials: E
authors.lastname: Misshula
authors.forename: Samuel
authors.initials: S
authors.lastname: Friedman
mesh_terms: D055030:Drug Users; D005260:Female; D015658:HIV Infections / Q000635:transmission*; D006801:Humans; D008297:Male; D015233:Models, Statistical; D012309:Risk-Taking; D012747:Sexual Partners; D015819:Substance Abuse, Intravenous / Q000150:complications*